江苏沿海垦区暗管排水对冬小麦产量的影响模拟

江苏沿海垦区农田地下水位埋深较浅,冬小麦生长易受到渍害的影响;为探究不同暗管排水条件影响下冬小麦产量的变化,该研究根据在江苏东台试验站实测的气象、土壤、地下水埋深等数据,联合运用田间水文模型DRAINMOD和作物模型AquaCrop模拟不同暗管排水条件对冬小麦产量的影响.结果显示:DRAINMOD模型可准确模拟研究区地...     

田间管理措施对土壤有机碳含量影响的模拟研究

利用农业生态系统生物地球化学模型(DNDC),选择6个典型的种植模式点,在特定的土壤和气候条件下运行模型,考察在其它投入条件不变的情况下,改变田间管理措施(秸秆还田、增施有机肥、改变化肥施用等)对土壤有机碳(SOC)含量影响的长期效应.研究结果表明,在众多的管理措施中,增加秸秆还田比例的固碳效应在众多的农田管理措施中体现最突出,以基本管理措施20年后有机碳含量为对照,当秸秆还田率增加到80%时,齐齐哈尔、平凉和芷江地区增加的SOC含量都在C 3 000 kg/hm2以上,北京郊区、江宁和盐亭地区每公顷则可以增加C10 000 kg以上.化肥增加SOC含量是通过增加作物还田残茬来实现的,与基本措施相比,除了华北和华东地区增施化肥使SOC含量显著增加外,其它地区均不明显.化肥施用量为本底值的50%配合秸秆还田率50%和化肥施用量为本底值的50%增施有机肥C 1 000 kg/hm2的两项措施,在各个地区都表现出比基本管理措施能存储更多的碳素,因此,在我国现在措施下,减少化肥的同时增加秸秆还田比例和增施有机肥是既增加土壤有机碳含量又减少化肥污染的"双赢"措施.     

长三角地区稻麦轮作土壤养分对秸秆还田响应-Meta分析

研究旨在明确稻麦轮作下秸秆还田对土壤基础养分的影响。以稻麦轮作系统为研究对象,采用Meta分析方法定量研究了土壤基础养分对秸秆还田的响应及其影响因素。结果表明,短期内(<2年)秸秆还田能够显著提升土壤有机碳和活性有机碳的含量,其中活性有机碳对秸秆还田的响应程度要高于总有机碳。低秸秆还田量(RS <3750 kg hm^-2和WS <3000 kg hm^-2)对土壤基础养分的提升效果不显著,而全量秸秆还田(RS 3000~6000 kg hm^-2和WS 3750~7000 kg hm^-2)能够显著提升土壤速效磷、有机碳和活性有机碳的含量。对于不同耕作措施而言,旋耕或翻耕措施均可以显著提升土壤有机碳的含量;此外,旋耕显著提高全氮和活性有机碳的含量,翻耕显著提高土壤速效磷和速效钾的含量。稻麦轮作下秸秆全量还田配合旋耕或者翻耕措施能够增加土壤基础养分含量,达到土壤地力培育的效果。     

不同有机物料还田对华北农田土壤固碳的影响及原因分析

中国农业面临着废弃物数量大、污染严重,农田土壤生产力低的现实问题。该研究以增加农田土壤固碳为目标对砂质农田进行有机物料还田,将秸秆、猪粪、沼渣和生物炭4种物料用尿素调节等氮还田,对农田土壤有机碳、颗粒有机碳、可溶性有机碳和微生物量碳的含量进行测定,并探究不同有机物料还田对土壤有机碳的影响原因。研究结果表明:物料还田3a后,生物炭、猪粪和沼渣处理土壤有机碳(SOC)比秸秆处理分别高262.4%、26.8%和20.7%;2014—2015年生物炭处理的土壤微生物量碳(MBC)较秸秆处理降低2.9%~35.5%,猪粪处理和沼渣处理的土壤可溶性有机碳(DOC)分别提高17.1%~60.1%和7.2%~64.8%;2014—2015年生物炭、猪粪和沼渣处理土壤颗粒有机碳(POC)较秸秆处理提高10.8%~148.2%、9.5%~58.3%和11.3%~57.6%;物料还田后,土壤总有机碳(TOC)和POC呈极显著的回归关系(R2=0.67,P0.001),土壤DOC与MBC有极显著相关性(R2=0.52,P0.001)。与秸秆还田相比,生物炭还田有利于土壤POC的累积进而促进土壤有机碳的提升,猪粪和沼渣则通过提高土壤MBC、DOC和POC的含量,促进土壤有机碳的周转和固定。从农田土壤固碳角度而言,生物炭,猪粪和沼渣还田优于秸秆还田。     

秸秆还田对中国农田土壤固碳效应影响的研究

采用Meta分析法定量研究了秸秆还田对中国农田土壤有机碳(SOC)含量的影响及影响因素。结果表明：秸秆还田比不还田可显著增加SOC含量，但随土壤深度加大，SOC的增加效果呈现下降趋势。同时，秸秆还田土壤的固碳速率随还田年限的增加而显著减小(P<0.01)，秸秆还田3～5、6～9a及≥10a土壤的固碳速率分别为0.58、0.19和0.09g/(kg·a)。此外，在施氮量100～400 kg/hm²、年均温度≥13℃、年均降水量≥800 mm和初始土壤C/N≥10条件下，0～20 cm土层的固碳作用表现较佳，而超过20 cm深度的土壤固碳作用受上述因素影响效果不显著。     

RothC模型模拟华北潮土区的土壤有机碳动态

运用RothC(Version 26.3)模型,模拟研究华北地区典型潮土长期定位施肥试验小麦-玉米轮作下土壤有机碳(SOC)含量的变化.本研究选取潮土区较为常见的6个典型施肥处理:不施肥(CK)、单施氮肥(N)、氮磷配施(NP)、氮磷钾配施(NPK)、氮磷钾配施有机肥(NPKM)和氮磷钾配施秸秆(NPKS),对耕层土壤SOC的模拟值与实际测定值进行了比较.除NPKS处理外,其余各处理模型模拟值与实测值之间吻合较好.将NPKS处理植物碳DPM/RPM由1.44调至3.35后,模拟效果明显改善.RothC模型可用来模拟和预测不同施肥措施下潮土SOC变化趋势,但在大量秸秆还田时需调整部分模型参数.     

秸秆还田对宁南旱区土壤有机碳含量及土壤碳矿化的影响

为了探明秸秆还田对宁南旱区土壤有机碳及土壤碳矿化的影响,为该区作物生产及土壤培肥制度的建立提供参考,通过4a（2007—2010年）秸秆还田定位试验,设置不同秸秆还田量处理,谷子秸秆按3000kg·hm-（2低L）、6000kg·hm-（2中M）、9000kg·hm-（2高H）粉碎还田,玉米秸秆按4500kg·hm-（2低L）、9000kg·hm-（2中M）、13500kg·hm-（2高H）粉碎还田,对照为秸秆不还田,对不同处理条件下土壤有机碳、土壤碳矿化速率、累积矿化量及其与不同形态碳素之间的相关性进行了分析。结果表明,土壤总有机碳、活性有机碳含量均随土层的加深而减少;各处理0～60cm土层土壤有机碳和活性有机碳含量分别比CK显著提高了24.2%、20.8%、9.5%和50.3%、46.6%、34.8%（P〈0.05）;秸秆还田不仅增加了土壤活性有机碳含量,同时也显著提高了0～20cm土层活性有机碳占总有机碳含量的比重,提高幅度达21.1%～23.1%（P〈0.05）;土壤碳矿化速率和累积矿化量在0～60cm各土层内随着秸秆还田量的增加大小顺序均为高量秸秆还田〉中量秸秆还田〉低量秸秆还田〉秸秆不还田,各秸秆还田处理较CK差异显著（P〈0.05）。相关性分析表明,土壤碳累积矿化量与不同形态碳素之间均存在极显著相关性。因此,在宁南半干旱区采用秸秆还田对提高土壤有机碳含量和碳矿化具有明显作用。     

以涝渍连续抑制天数为冬小麦排水指标的试验

为了探讨在冬小麦抽穗开花期以涝渍连续抑制天数作为排水指标的可能性,该文利用测坑试验研究了冬小麦抽穗开花期不同涝渍处理对其生理指标及产量的影响,建立了作物相对产量Ry（涝渍胁迫处理下小麦产量与对照的比值）与涝渍连续抑制天数CSDI的关系模型。结果表明,涝渍处理对冬小麦光合速率、气孔导度和蒸腾速率具有明显的抑制作用,在地表水累积深度SFW相同的情况下,地下水埋深小于50 cm的累积深度SEW50越大,冬小麦减产越严重;在单纯受渍情况下,冬小麦相对产量Ry随SEW50的增大而呈减小的趋势,但各处理之间差异不显著。冬小麦相对产量Ry与SEW50和CSDI均具有较好的线性关系;涝害权重系数CW是一个随涝渍状态而变的状态变量,说明在涝渍连续情况下,用涝渍连续抑制天数作为控制排水指标比较合理。     

不同施肥和秸秆还田措施对稻麦轮作系统碳氮流失的影响

过量施肥和秸秆的处理问题一直是制约我国农业生态可持续发展的阻碍,并因此产生了诸多环境问题。采用DNDC模型对减量化施肥和秸秆还田措施下稻麦轮作系统中碳氮的迁移转化过程进行模拟,从而筛选适用于上海地区稻麦轮作系统中的最佳农田管理措施。结果表明:减量化施肥与秸秆还田均能显著影响稻麦轮作系统的氮素流失、温室气体排放和土壤碳储量变化。75%CK+SR处理即减量25%施肥量同时采用秸秆还田是适用于上海地区稻麦轮作系统中的最佳农田管理措施,能够在获得最佳水稻产量的同时有效减少41.67%的氮素流失量和51.85%的N_2O排放量。虽然秸秆还田会增加稻麦轮作系统的CH_4排放量,但同时也能显著增加土壤的碳储量。减量化施肥50%的处理(50%CK和50%CK+SR)则会导致水稻减产3.06%~9.90%。与目前上海地区传统的田间管理措施CK相比,75%CK+SR能够有效改善稻麦轮作系统的生态环境效益。研究结果为我国稻麦轮作系统碳氮流失的控制提供了参考。     

黄土旱塬长期秸秆还田对土壤养分、酶活性及玉米产量的影响

研究黄土旱塬区玉米生产中长期秸秆还田对土壤性质及玉米产量的影响,可为农田土壤可持续利用及质量提升提供科学依据。本研究基于连续24年(1992—2016年)秸秆还田长期定位试验,设置秸秆过腹还田、秸秆直接还田、秸秆覆盖还田以及不还田处理,研究长期不同秸秆还田方式对土壤化学性质、酶活性以及玉米产量的影响。研究表明,秸秆不还田处理累积玉米产量为1.695×105 kg·hm?2,覆盖还田、直接还田和过腹还田处理累积玉米产量分别为1.885×105 kg·hm?2、1.854×105 kg·hm?2、2.001×105 kg·hm?2,其增产率分别为10.1%、8.6%、15.3%。3种秸秆还田均可以显著提高0～20 cm土层土壤有机碳含量6%～14%,对20～40 cm土层土壤有机碳含量无显著影响。与秸秆不还田相比,长期过腹还田可显著增加土壤全氮、全磷、全钾、有效氮、有效磷和有效钾含量,秸秆直接还田可显著增加土壤全氮、全钾、有效氮和有效钾含量,长期覆盖还田仅提高土壤有效氮和有效钾含量。土壤蔗糖酶活性表现为过腹还田最高,直接还田和覆盖还田次之,不还田处理最低。秸秆直接还田0～20 cm纤维素酶活性最高,是不还田处理的2.2倍。过腹还田使土壤脲酶活性和碱性磷酸酶活性分别显著提高13.0%和20.5%,直接还田和秸秆覆盖对脲酶和碱性磷酸酶活性无显著影响。玉米生产中长期连续秸秆过腹还田和直接还田对土壤养分含量及酶活性产生了深远的影响,尤其是土壤蔗糖酶活性的提高与玉米产量稳定和提升有非常紧密联系。     

应用DNDC模型分析东北黑土有机碳演变规律及其与作物产量之间的协同关系

【目的】探索长期不同施肥方式下土壤有机碳的动态变化及其与作物产量之间的耦合关系,以期为东北地区黑土耕地资源的持续利用与管理提供科学依据。 【方法】基于黑土区国家土壤肥力与肥料效益监测网站公主岭监测基地的23年长期定位试验数据,选取不施肥（CK）、单施氮磷钾肥（NPK）、无机肥配施低量有机肥（NPKM1）、1.5倍的无机肥配施低量有机肥[1.5（NPK）M1]、无机肥配施高量有机肥（NPKM2）和无机肥配施秸秆（NPKS）6个处理进行土壤有机碳和产量的分析,将数据用于DNDC模型验证,并对6种施肥处理在未来气候下（40 a）黑土有机碳的演变进行模拟。 【结果】试验监测结果表明:从1990~2012年的土壤有机碳数据分析得出,长期不施肥土壤有机碳从12.49 g/kg以年均0.69%的速率下降,有机无机配施可以提升土壤有机碳含量。DNDC验证结果如下:DNDC验证土壤有机碳时各处理的相对均方根误差（RMSE）为14.98%~37.91%,验证作物产量时各处理的RMSE为8.28%~11.19%,说明模型能够基本反映长期不同施肥下的作物产量和土壤有机碳的变化。未来气候下的模拟结果表明:CK和NPK处理土壤有机碳在未来40年里分别下降16.67%和11.21%。而3个化肥有机肥配施处理在未来40年呈稳定增长态势,NPKM1、1.5（NPK）M1和NPKM2处理的土壤有机碳将分别增加13.65%、15.74%和15.84%,以1.5（NPK）M1增势最为显著。NPKS处理的有机碳相对初始略有增加。当施氮量从160 kg/hm2增至320 kg/hm2时,土壤有机碳每增加1.00 g/kg,作物产量的增加量从44.48 kg/hm2下降至15.95 kg/hm2。 【结论】从长期实测数据的分析和DNDC模型模拟得出,实施秸秆还田和有机肥配施无机肥能有效持续增加SOC含量,并能获得较高的作物产量。在施氮量160~320 kg/hm2水平下,作物产量随着土壤有机碳含量的增加而升高,且土壤有机碳含量对产量的提升幅度随着施氮量的升高而降低。     

Crop rotation with plastic mulching increased soil organic carbon and water sustainability: A field trial on the Loess Plateau

Appropriate crop rotations are beneficial for food security and carbon sequestration. In cool and semiarid rain-fed areas, however, the effect on carbon sequestration in soil and the soil–crop system is not clear. In this study, a crop rotation field experiment was carried out on the Loess Plateau, China, involving (1) wheat continuous cropping (WCC), (2) maize continuous cropping (MCC), (3) potato continuous cropping (PCC) and (4) wheat–maize–potato rotating cropping (RC). All treatments were tilled once, and then, plastic mulched immediately to inhibit evaporation. We found that the rotating cropping system improved water storage in the 0–300 cm soil profile by 65.8 mm through the 6 years, while MCC depleted deep soil moisture. In a drought year, total dry matter (DM) for the rotating cropping was greater by 23.9% and 79.3% and harvested carbon quantity (HCQ) by 0.6 and 1.8 Mg ha⁻¹ compared with WCC and MCC systems, respectively. Total evapotranspiration significantly decreased by 14.5% compared with MCC, with no significant change compared with WCC and PCC. The soil organic carbon (SOC) concentration at 20–30 cm depth in the rotating cropping system was 36.0%, 28.0% and 30.3% greater than those of WCC, MCC and PCC, respectively. Similarly, the SOC sequestration rate at this depth was higher by 3.8, 3.2 and 3.4 Mg ha⁻¹, respectively. The pure carbon accumulation (PCA) of the rotating cropping system significantly increased compared with WCC and PCC, resulting in increased water use efficiency of pure carbon accumulation (WCP) by 11.1, 2.2 and 3.1 Mg ha⁻¹ mm⁻¹ compared with the WCC, MCC and PCC systems, respectively. Overall, the rotating cropping (RC) system maintained better soil water conditions, sustained crop development and SOC sequestration, especially optimizing the relationship between crop water utilization and SOC sequestration in soil–crop system in the cool semiarid rain-fed area.     

Testing the Suitability of the DNDC Model for Simulating Long-Term Soil Organic Carbon Dynamics in Japanese Paddy Soils

The suitability of the DeNitrification-DeComposition (DNDC) model for simulating long-term changes in the content of soil organic carbon (SOC) was validated using 5 sites for long-term experiments related to Japanese paddy soils. Since the model could not simulate crop growth adequately, several crop growth parameters provided by the model as default were changed to adjust crop growth to the observation. Overall, the changes in the content of SOC with time simulated by DNDC using adjusted crop parameters, agreed well with the observation in 9 plots from 5 experimental sites during the 16 to 22-year period of the experiment. The good performance of the decomposition sub-model in the DNDC was verified in the long-term SOC decomposition in paddy soils as well as in upland soils reported in previous studies. However, the simulated SOC did not agree well with the observation in some plots, especially in soils with a very low SOC content, suggesting that care should be exercised when applying the model to soils with a very low SOC content. Moreover, careful tuning of crop growth parameters should be promoted for better simulation, and detailed information about farm management required for input parameters is often difficult to obtain, especially in long-term experiments. In conclusion, the DNDC model is an effective tool for simulating long-term SOC dynamics in paddy soils. The unique kinetic scheme "anaerobic balloon" in the model may play an important role in successful simulation of SOC dynamics in paddy soils that are water-logged during the rice cropping period. This scheme may be helpful for modifying the other turnover models of soil organic matter for use for paddy soils, too.     

近滨海盐碱地暗管排水条件下地下水埋深动态变化模拟

农田暗管排水工程是近滨海地区盐碱地防御涝渍害、降低土壤盐分和促进作物生长的重要措施。本文应用DRAINMOD模型对河北沧州近滨海暗管排水排盐试验区(暗管埋深1.2 m,间距30 m),2011年6—9月的地下水埋深进行了模拟,并对不同控制性排水方案(无强制排水,地下水埋深控制在50 cm、80 cm和100 cm)下地下水埋深的变化进行了预测。模型所需参数(气象数据、作物数据、土壤参数和排水数据)由室内试验、田间试验和实地观测得到。研究结果表明:DRAINMOD在该地区的模拟值与观测值拟合较好,效率系数为0.67,相对误差系数为6.15%,反映出模型良好的模拟性能;农田暗管排水系统能明显降低涝渍害的发生,即使发生强降水,也能在2 d内将地下水埋深控制在60 cm以下,而若无强制排水地下水埋深需在15 d后降至60 cm;对不同排水方案模拟效果的比较表明,试验区在夏季控制性排水中,将地下水埋深控制在80 cm左右较为合适。综上,DRAINMOD模型可以很好地应用于地下水埋深变化的预测中。因此,在未来的研究中,近滨海盐碱区可以通过DRAINMOD模型模拟地下水埋深变化,从而为农田排水系统的设计提供理论依据,为暗管排水管理制度的建立提供科学的选择方法。     

Modeling a long-term effect of rice straw incorporation on SOC content and grain yield in rice field

ABSTRACT

The long-term effects of rice straw incorporation on soil organic carbon (SOC) content and rice yield were evaluated from rice cultivation with different treatments: no rice straw (control), rice straw (RS), and rice straw compost (RSC) as a main-plots; five levels of nitrogen (N) fertilizer application: 0, 100, 150, 200, and 250 of N (kg ha^?1) as a sub-plots. The denitrification and decomposition (DNDC) model was employed to simulate changes in SOC content and rice grain yield over 35 years. Additionally, scenario analysis on continuous or discontinuous RS incorporation in rice fields was conducted using the DNDC model. The long-term results indicated that RS and RSC treatments played a crucial role in increasing grain yields by 9% and 11% due to the increased SOC contents compared to control treatment. The validated DNDC model on SOC contents and yields showed a good agreement between the observed and simulated values based on the normalized root mean square errors. The model predicted a rapid decline of SOC contents without RS incorporation. Results suggested that incorporating rice straw or amending manure to paddy soils is a preferred practice for maintaining SOC contents.     

黑土有机碳变化的DNDC模拟预测

为探讨黑土有机碳的长期变化规律及DNDC模型在土壤有机碳预测方面的适用性,本文利用吉林省公主岭地区黑土不同施肥措施下的长期定位试验数据,选取不施肥(CK)、单施化肥(NPK)、配施有机肥(NPKM)和增施有机肥(M2+NPK)4个处理进行土壤有机碳分析,并将数据用作DNDC模型验证。验证结果表明:各处理DNDC验证中RMSE值均小于10%(分别为5.09%、6.11%、9.38%、8.36%),说明模拟值与观测值一致性良好,模型可用于该地区土壤有机碳模拟。选取了化肥施用、有机肥施用、秸秆还田比率、温度及降水5个因子进行模型的敏感性分析,结果表明:有机肥的施用对土壤有机碳含量的影响最显著,且这种影响具有持久性。最后模拟了4种施肥情境下未来(至2100年)的土壤有机碳变化情况。结果表明:对照不施肥处理(CK)土壤有机碳含量略有下降,至2100年土壤有机碳含量为11.55 g·kg-1,较试验前土壤初始有机碳(13.2 g·kg-1)下降约12.5%。单施化肥处理(NPK)土壤有机碳含量较为稳定,并未出现土壤有机碳含量下降。配施有机肥(NPKM)和增施有机肥(M2+NPK)处理土壤有机碳含量增加明显,至2100年土壤有机碳含量为24.4 g·kg-1和27.6 g·kg-1,分别较初始有机碳含量上升84.8%和109.1%。     

耕作及水蚀影响下坡耕地土壤有机碳动态模拟

土壤侵蚀和沉积明显影响土壤有机碳(SOC)的积累与损耗,在以往土壤碳平衡模拟中却未得到应有的重视。本文以典型黑土漫岗坡耕地表层土壤为研究对象,利用CENTURY模型模拟特定质地下自然黑土有机碳的积累过程,估算研究区黑土有机碳及各组分的背景值;对比研究侵蚀泥沙对SOC富集的影响,将模型模拟值与实测值进行统计比较来验证模型;进而模拟侵蚀区开垦后SOC以及各组分随时间的变化,定量研究土壤侵蚀对SOC各组分损失的贡献。研究结果表明:黑土有机碳的累积大致可分为初期的快速积累和后期缓慢积累两个阶段,前期慢性有机碳库的累积对SOC库的增加贡献最大,后期SOC累积主要由惰性有机碳缓慢累积来完成。达到平衡状态时,研究区黑土有机碳含量为7 240 g m-2,以慢性和惰性有机碳为主,约占总SOC的97.4%。考虑泥沙对SOC的富集作用,模型模拟值与实测值更加吻合。自然黑土开垦后,微生物分解矿化作用是活性和慢性有机碳损失的主要途径,土壤侵蚀明显降低惰性有机碳含量,其贡献率随侵蚀速率的增加而增大。因研究区侵蚀不严重,土壤侵蚀对开垦以来的SOC库损耗贡献较小。     

Regional simulation of long-term organic carbon stock changes in cropland soils using the DNDC model: 1. Large-scale model validation against a spatially explicit data set

Because of the large spatial and temporal variability of soil organic carbon (SOC) dynamics, a modelling approach is crucial in detailed regional analyses. Several estimates of regional scale SOC sequestration potential have been made using dynamic soil organic matter (SOM) models which have been linked to spatial databases contained within a Geographic Information System. In all these previous studies, a large‐scale model validation, which provides information on the general model performance for the study area under concern, was impossible because of lack of data. A data set of over 190 000 SOC measurements, grouped as means per community and covering the period 1989–2000 was available for Flanders in northern Belgium. In order to validate the DNDC model at a large spatial scale, we used this data set along with detailed pH, soil texture and crop areas which were all available at the municipality scale to simulate SOC stocks for the entire study area during the period 1990–2000. A minor adjustment of the initial distribution of SOC in the model's SOC pool was necessary to fit the simulated SOC stock changes to the measured decrease of −475 kg OC ha⁻¹ year⁻¹ (0–30 cm). Although DNDC was able to simulate the SOC stock changes well for the whole study area, the simulated decrease in the SOC stocks was overestimated for communities predominantly having sandy textures and underestimated for communities with silt loam to silt textures. This study also urges caution with the application of SOM models at regional scales after limited validation or calibration at the field scale as these do not guarantee good simulation of spatial variation in SOC changes.     

Dissolved and Soil Organic Carbon after Long‐Term Conventional and No‐Tillage Sorghum Cropping

Abstract

Distribution of dissolved (DOC) and soil organic carbon (SOC) with depth may indicate soil and crop‐management effects on subsurface soil C sequestration. The objectives of this study were to investigate impacts of conventional tillage (CT), no tillage (NT), and cropping sequence on the depth distribution of DOC, SOC, and total nitrogen (N) for a silty clay loam soil after 20 years of continuous sorghum cropping. Conventional tillage consisted of disking, chiseling, ridging, and residue incorporation into soil, while residues remained on the soil surface for NT. Soil was sampled from six depth intervals ranging from 0 to 105 cm. Tillage effects on DOC and total N were primarily observed at 0–5 cm, whereas cropping sequence effects were observed to 55 cm. Soil organic carbon (C) was higher under NT than CT at 0–5 cm but higher under CT for subsurface soils. Dissolved organic C, SOC, and total N were 37, 36, and 66%, respectively, greater under NT than CT at 0–5 cm, and 171, 659, and 837% greater at 0–5 than 80–105 cm. The DOC decreased with each depth increment and averaged 18% higher under a sorghum–wheat–soybean rotation than a continuous sorghum monoculture. Both SOC and total N were higher for sorghum–wheat–soybean than continuous sorghum from 0–55 cm. Conventional tillage increased SOC and DOC in subsurface soils for intensive crop rotations, indicating that assessment of C in subsurface soils may be important for determining effects of tillage practices and crop rotations on soil C sequestration.